A buyer wants a product like yours. Two years ago they Googled it. Today a growing share of them open ChatGPT, Perplexity, or Google’s AI Overviews and ask which store to buy from. The assistant names three or four. If yours isn’t one of them, you never entered the conversation. You didn’t lose the sale. You were never in the running.
Thank you for reading this post, don't forget to subscribe!That shift is already pulling buyers away from stores that only optimized for the old search box. Here’s how AI search picks the stores it names, and how to become one of them.
Why AI Search Skips Most Stores
AI assistants don’t shop your site the way a person does. They pull from sources they can read fast and trust: clean text, structured data, and content that answers the exact question being asked. A store built as a pretty storefront with three lines of product copy gives them nothing to quote.
So the assistant names the stores it can actually understand. Most of the time, that isn’t the best store. It’s the most readable one.
What AI Search Actually Reads
1. Structured data
Product, Organization, FAQ, and Review schema tell an assistant what each page is and what’s on it. Without it, AI guesses, and guessing usually means skipping you.
2. Answer-formatted content
Assistants lift sentences that answer a question directly. Put the answer in the first line. Bury it under a brand story and it gets passed over.
3. An llms.txt file
A plain text map at the root of your site that tells AI assistants what you sell, who you are, and which pages to cite. Most stores don’t have one. It takes an afternoon to add.
4. Fast, crawlable pages
If a page is slow or renders only after heavy JavaScript, the assistant may never read it. Core Web Vitals aren’t just a Google ranking factor anymore.
5. What other sites say about you
Reviews, comparisons, and mentions across the web feed the model’s confidence. You don’t control all of it, but you can earn more of it.
How to Make Your Store Citable
Add and clean up schema on your product, collection, and FAQ pages. Rewrite your highest-intent pages so the first sentence answers the buyer’s question. Publish honest comparison and FAQ content. Add an llms.txt file. Fix the pages that load slowly. Then build a few legitimate third-party mentions.
None of this is a trick. It’s making your store legible to the tools buyers now use before they ever reach a product page.
How I Approach It
The SEO & AI Search Audit looks at how findable your store is in Google and in AI answers: technical SEO, Core Web Vitals, structured data, and whether assistants can read and cite you. You get a ranked priority list in 72 hours for $497. The 14-day Sprint implements the top fixes, from $3,500.
Want this done for you?
Start with the Growth Audit — $497, written report in 72 hours. Or go straight to the SEO & AI Search Sprint when you already know what needs fixing.
Frequently Asked Questions
Does AI search actually drive sales?
It drives consideration. When an assistant names your store, you enter a shortlist the buyer trusts. That’s the same job the first page of Google used to do.
Do I need to rank #1 on Google to get cited by AI?
No. AI citations and Google rankings overlap but aren’t the same. A page can be cited by ChatGPT without ranking first, if it answers the question clearly and is easy to read.
How long until it works?
Schema and llms.txt changes get picked up within weeks. Content and mentions compound over months. The Audit tells you which fixes move the needle first.
Ready to fix what's broken?
Stop guessing and get a real diagnosis. Book a Growth Audit or jump straight into a Sprint.
Find this useful? Make Ecomm Decoded a preferred Google source → so it shows up first when Google answers your ecommerce questions.